• Anterior and coracoid base tunnel location combined with single -or double clavicular tunnel techniques using double-button fixation for coracoclavicular ligament reconstruction both restore horizontal stability. A biomechanical cadaver study 

  Molepo, Maketo; Keough, Natalie; Oberholster, Abraham Johannes (Abrie); Hohmann, Erik (Elsevier, 2024-12)

  BACKGROUND : The placement of clavicle tunnels in coracoclavicular ligament reconstruction is well established, but the optimal position of the coracoid tunnel remains unclear. This study aimed to investigate how the ...
• A dependent circular-linear model for multivariate biomechanical data : Ilizarov ring fixator study 

  Nagar, Priyanka; Bekker, Andriette, 1958-; Arashi, Mohammad; Kat, Cor-Jacques; Barnard, Annette-Christi (Sage, 2024-09)

  Biomechanical and orthopaedic studies frequently encounter complex datasets that encompass both circular and linear variables. In most cases (i) the circular and linear variables are considered in isolation with dependency ...
• Generalised envelope spectrum-based signal-to-noise objectives: Formulation, optimisation and application for gear fault detection under time-varying speed conditions 

  Schmidt, Stephan; Wilke, Daniel Nicolas; Gryllias, Konstantinos C. (Elsevier, 2025-01)

  In vibration-based condition monitoring, optimal filter design improves fault detection by enhancing weak fault signatures within vibration signals. This process involves optimising a derived objective function from a ...
• Techniques to mitigate membrane displacement for vacuum-membrane solar-dish facets 

  McGee, Duncan S.; Le Roux, Willem Gabriel (Elsevier, 2025-01)

  The prospects of a multifaceted vacuum-membrane solar dish concentrator are considered in this work. The membrane depths of these facets can shift slightly due to varying ambient conditions throughout an operational day, ...
• Experimental investigation into heat transfer and flow characteristics of magnetic hybrid nanofluid (Fe3O4/TiO2) in turbulent region 

  Adogbeji, Victor O.; Sharifpur, Mohsen; Meyer, Josua P. (Elsevier, 2025-01)

  Please read abstract in the article.
• Experimental and machine learning study on the influence of nanoparticle size and pulsating flow on heat transfer performance in nanofluid-jet impingement cooling 

  Atofarati, Emmanuel O.; Sharifpur, Mohsen; Huan, Zhongjie; Awe, Olushina Olawale; Meyer, Josua P. (Elsevier, 2025-01)

  Maximizing heat transfer efficiency is crucial for enhancing performance and durability in diverse engineering applications, including fuel cells, EV batteries, and solar PV/T systems, thereby advancing sustainable energy ...
• The application of risk-based inspections on furnace high-pressure cooling systems incorporating proportional hazards and steam explosion consequence modelling 

  Lelo, Nzita Alain; Heyns, P.S. (Philippus Stephanus); Wannenburg, Johann (Emerald, 2024-09)

  PURPOSE : Steam explosions are a major safety concern in many modern furnaces. The explosions are sometimes caused by water ingress into the furnace from leaks in its high-pressure (HP) cooling water system, coming into ...
• Flow boiling in a rectangular micro/mini channel with self-rewetting and non-rewetting fluids 

  Venter, Mandi; Widyatama, Arif; Dirker, Jaco; Sefiane, Khellil (Elsevier, 2024-12)

  Please read abstract in the article.
• Vibration-induced discomfort in vehicles : a comparative evaluation approach for enhancing comfort and ride quality 

  Kat, Cor-Jacques; Skrickij, Viktor; Shyrokau, Barys; Kojis, Paulius; Dhaens, Miguel; Mantovani, Sara; Gherardini, Francesco; Strano, Salvatore; Terzo, Mario; Fujimoto, Hiroshi; Sorniotti, Aldo; Camocardi, Pablo; Victorino, Alessandro Correa; Ivanov, Valentin (SAE International, 2024)

  This article introduces a methodology for conducting comparative evaluations of vibration-induced discomfort. The aim is to outline a procedure specifically focused on assessing and comparing the discomfort caused by ...
• Ride comfort comparison between 4-poster and full vehicle driving simulations using difference thresholds 

  Kat, Cor-Jacques; Els, Pieter Schalk (Elsevier, 2024-12)

  Difference thresholds of whole-body vibration is important to determine perceptibility of changes in vehicle vibration and can be used to guide ride comfort improvements. It is postulated that estimated difference thresholds ...
• Substitution of diesel fuel in conventional compression ignition engine with waste biomass-based fuel and its validation using artificial neural networks 

  Krishnamoorthy, Ramalingam; Venkatesan, Elumalai Perumal; Vellaiyan, Suresh; Mukhtar, Azfarizal; Sharifpur, Mohsen; Hizam Md Yasir, Ahmad Shah; Saleel, C. Ahamed (Elsevier, 2023-09)

  This study aims to derive bioenergy from waste lather fat and citronella grass. Lather fat oil (LFO), citronella grass oil (CGO), a mixture of leather fat oil and citronella grass oil (LFCGO), and a nano-additive-incorp ...
• A stochastic model to quantify and optimize the impact of operational risks on corporate sustainability using Monte Casino simulation 

  Bravo-Sepúlveda, M.; Wilke, Daniel Nicolas; Isaza, Cuervo F.; Polanco, J.-A. (Czestochowa University of Technology, 2023)

  Operational risk has been widely studied, and international guidelines provide procedures for the correct management of operational risk; however, this has not been studied from a corporate sustainability point of view. ...
• Impact of five obstacles with constant temperatures on the mixed convection flow of water/copper nanofluid in a rectangular cavity with a magnetic field 

  Mustafa, Jawed; Alqaed, Saeed; Husain, Shahid; Sharifpur, Mohsen (Elsevier, 2024-02)

  Please read abstract in the article.
• The effective use of focused shadowgraphy for single bubble nucleate pool boiling investigations 

  Everts, Marilize; Welzl, M.; Brüggemann, D. (Institute of Physics, 2024-06)

  Nucleate pool boiling is known for its high heat transfer coefficients. Despite being widely implemented, the prediction of nucleate pool boiling mechanisms remains complex and single bubble heat transfer analysis is ...
• Editorial : Special issue on advanced nonstationary signal processing algorithms and techniques for machinery fault diagnosis and prognosis 

  Chen, Yuejian; Feng, Ke; Schmidt, Stephan; Heyns, P.S. (Philippus Stephanus); Niu, Gang (Elsevier, 2025-01)

  No abstract available.
• Improving optimization-based inverse analysis using direct inverse maps : a dynamic damage identification case study 

  Stephens, Grant; Wilke, Daniel Nicolas (Obuda University, 2024)

  Inverse problems in engineering form routinely part of larger engineering simulations. Therefore, the quality of the solution to an inverse problem directly influences the quality of the larger simulation and, ultimately, ...
• Thermal conductivity enhancement of metal oxide nanofluids : a critical review 

  Yasmin, Humaira; Giwa, Solomon O.; Noor, Saima; Sharifpur, Mohsen (MDPI, 2023-02)

  Advancements in technology related to energy systems, such as heat exchangers, electronics, and batteries, are associated with the generation of high heat fluxes which requires appropriate thermal management. Presently, ...
• Stability and thermophysical properties of GNP-Fe2O3 hybrid nanofluid : effect of volume fraction and temperature 

  Borode, Adeola; Tshephe, Thato; Olubambi, Peter; Sharifpur, Mohsen; Meyer, Josua P. (MDPI, 2023-04)

  The study focused on the impact of concentration and temperature on the electrical conductivity, viscosity, and thermal conductivity of GNP/Fe2O3 hybrid nanofluids. The study found that nanofluids have better electrical ...
• Experimental exploration of hybrid nanofluids as energy-efficient fluids in solar and thermal energy storage applications 

  Yasmin, Humaira; Giwa, Solomon O.; Noor, Saima; Sharifpur, Mohsen (MDPI, 2023-01-09)

  In response to the issues of environment, climate, and human health coupled with the growing demand for energy due to increasing population and technological advancement, the concept of sustainable and renewable energy ...
• Temporally-preserving latent variable models : offline and online training for reconstruction and interpretation of fault data for gearbox condition monitoring 

  Balshaw, Ryan; Heyns, P.S. (Philippus Stephanus); Wilke, Daniel Nicolas; Schmidt, Stephan (Intelligence Science and Technology Press, 2024-06)

  Latent variable models can effectively determine the condition of essential rotating machinery without needing labelled data. These models analyse vibration data via an unsupervised learning strategy. Temporal preservation ...

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